JOURNAL ARTICLE

The Crisis of Artificial Intelligence: A New Digital Humanities Curriculum for Human-Centred AI.

  • Published In: International Journal of Humanities & Arts Computing: A Journal of Digital Humanities, 2023, v. 17, n. 2. P. 147 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Chun, Jon; Elkins, Katherine 3 of 3

Abstract

This article outlines what a successful artificial intelligence digital humanities (AI DH) curriculum entails and why it is so critical now. Artificial intelligence is rapidly reshaping our world and is poised to exacerbate long-standing crises including (1) the crisis of higher education and the humanities, (2) the lack of diversity, equity and inclusion (DEI) in computer science and technology fields and (3) the wider social and economic crises facilitated by new technologies. We outline a number of ways in which an AI DH curriculum offers concrete and impactful responses to these many crises. AI DH yields meaningful new avenues of research for the humanities and the humanistic social sciences, and offers new ways that higher education can better prepare students for the world into which they graduate. DEI metrics show how an AI DH curriculum can engage students traditionally underserved by conventional STEM courses. Finally, AI DH educates all students for civic engagement in order to address both the social and economic impacts of emerging AI technologies. This article provides an overview of an AI DH curriculum, the motivating theory behind design decisions, and a detailed look into two sample courses. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Humanities & Arts Computing: A Journal of Digital Humanities. 2023/10, Vol. 17, Issue 2, p147
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2023
  • ISSN:1753-8548
  • DOI:10.3366/ijhac.2023.0310
  • Accession Number:172914059
  • Copyright Statement:Copyright of International Journal of Humanities & Arts Computing: A Journal of Digital Humanities is the property of Edinburgh University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.